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Security for AI

The rapid adoption of Generative AI (GenAI) tools has transformed how data is produced, utilized, and consumed within enterprises. While these tools offer significant productivity benefits, they also introduce new challenges related to data security, compliance, and governance. These include the rise in the usage of unauthorized AI applications ("shadow AI") and the risk of sensitive information exposure.

The Security for AI section of the Cyberhaven Console provides comprehensive visibility and control to address these challenges. It empowers security teams to understand GenAI usage patterns, assess application risks, and enforce policies to protect sensitive data flowing into and out of AI models.

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NOTE This feature is available to customers on the Advanced and Enterprise tiers. Contact Customer Support to request a license.

Foundation​

Security for AI is designed to address the top security challenges arising from the widespread use of Generative AI (GenAI) tools in the workplace. These include:

  • Lack of visibility — Organizations often lack insight into which AI applications employees use, making it difficult to assess and manage associated risks.
  • Sensitive data leakage — There is a risk of unintentional or intentional disclosure of confidential information, including intellectual property and client data, through AI tool interactions.
  • Unauthorized data access — Expanding data access to include AI tools requires ensuring that only authorized individuals can access specific information.

Cyberhaven addresses these challenges by extending its data lineage technology to cover GenAI interactions. The GenAI App Name location type category captures detailed metadata from AI-related user activities, enabling security teams to define and enforce precise policies for data protection and compliance.

Features​

  • Discover GenAI App Usage — Identify GenAI applications used across your organization and gain insights into usage patterns.
  • AI App Risk Profiles — View risk assessments for known AI applications to evaluate vulnerabilities and inform policy decisions.
  • Monitor Data Flows — Track sensitive data moving into and out of GenAI applications and apply policies to prevent unauthorized transfers.
  • Track AI-Generated Data — Monitor sensitive data generated by AI tools to detect risks from AI-generated content.
  • Cover Web & URL-Based Desktop Apps — Monitor and control data movements in popular web-based GenAI apps like ChatGPT and Copilot, as well as URL-based desktop applications.